IUMENTA: A generic framework for animal digital twins within the Open Digital Twin Platform

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Youssef, Ali, Vodorezova, Kristina, Aarts, Yannick, Agbeti, Wisdom E. K., Palstra, Arjan P., Foekema, Edwin, Aguilar, Leonel, Torres, Ricardo da Silva, Grübel, Jascha
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912120792154112
author Youssef, Ali
Vodorezova, Kristina
Aarts, Yannick
Agbeti, Wisdom E. K.
Palstra, Arjan P.
Foekema, Edwin
Aguilar, Leonel
Torres, Ricardo da Silva
Grübel, Jascha
author_facet Youssef, Ali
Vodorezova, Kristina
Aarts, Yannick
Agbeti, Wisdom E. K.
Palstra, Arjan P.
Foekema, Edwin
Aguilar, Leonel
Torres, Ricardo da Silva
Grübel, Jascha
contents IUMENTA (Latin for livestock) is an innovative software framework designed to construct and simulate digital twins of animals. By leveraging the powerful capability of the Open Digital Twin Platform (ODTP) alongside advanced software sensors, IUMENTA offers researchers a user-friendly tool to seamlessly develop adaptive digital replicas of animal-based processes. This framework establishes a dynamic ecosystem that integrates insights from diverse experiments, consequently enhancing our understanding of animal behavioural and physiological responses. Through real-time tracking of an animal's energy balance. IUMENTA provides valuable insights into metabolic rates, nutritional needs, emotional states, and overall well-being of animals. In this article, we explore the application of the IUMENTA framework in developing a digital twin focused on the animal's energy balance. IUMENTA includes the EnergyTag system, a state-of-the-art wearable software sensor, which facilitates real-time monitoring of energy expenditure, allowing for continuous updates and personalisation of the energy balance digital twin.
format Preprint
id arxiv_https___arxiv_org_abs_2411_10466
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle IUMENTA: A generic framework for animal digital twins within the Open Digital Twin Platform
Youssef, Ali
Vodorezova, Kristina
Aarts, Yannick
Agbeti, Wisdom E. K.
Palstra, Arjan P.
Foekema, Edwin
Aguilar, Leonel
Torres, Ricardo da Silva
Grübel, Jascha
Other Computer Science
IUMENTA (Latin for livestock) is an innovative software framework designed to construct and simulate digital twins of animals. By leveraging the powerful capability of the Open Digital Twin Platform (ODTP) alongside advanced software sensors, IUMENTA offers researchers a user-friendly tool to seamlessly develop adaptive digital replicas of animal-based processes. This framework establishes a dynamic ecosystem that integrates insights from diverse experiments, consequently enhancing our understanding of animal behavioural and physiological responses. Through real-time tracking of an animal's energy balance. IUMENTA provides valuable insights into metabolic rates, nutritional needs, emotional states, and overall well-being of animals. In this article, we explore the application of the IUMENTA framework in developing a digital twin focused on the animal's energy balance. IUMENTA includes the EnergyTag system, a state-of-the-art wearable software sensor, which facilitates real-time monitoring of energy expenditure, allowing for continuous updates and personalisation of the energy balance digital twin.
title IUMENTA: A generic framework for animal digital twins within the Open Digital Twin Platform
topic Other Computer Science
url https://arxiv.org/abs/2411.10466